Shopify Says AI Is Helping Merchants Reach More Customers: How Does We0.ai Track Inquiries from ChatGPT, Gemini, and Copilot?

Shopify has publicly emphasized that AI is helping merchants reach more customers. This article breaks down why AI traffic is valuable, how to use GA4 / Referrer / UTM / logs to track inquiries from ChatGPT, Gemini, and Copilot, and how We0.ai turns this into sustainable growth.

发布于 2026年8月7日generalGEO 评分: 011 次阅读
Shopify AI trafficChatGPT referralsGemini referralsCopilot referralsAI inquiry trackingGA4 AI trafficAI searchGEOSEOWe0.ai
This image is the core visual content of the corresponding article, illustrating how Shopify AI, with the help of We0.ai, tracks leads generated by AI tools: the left side labels the involved AI tools as ChatGPT, Gemini, and Copilot, while the right side uses connecting lines to show these three AI tools jointly pointing to "New lead," with the Shopify brand logo in the background, intuitively presenting We0.ai's function of tracking new customer leads brought by these three AI tools for merchants.

Shopify put it bluntly this time: AI is no longer just a "content tool" — it's becoming the customer entry point.

Shopify's recent stance is very clear: AI is helping merchants reach more customers. That's not just a nice-sounding phrase. Behind it is a very real shift — users are now asking questions, comparing products, and reading recommendations directly in ChatGPT, Gemini, and Copilot, then clicking through to merchant websites.

In plain terms, the customer's starting point has changed.

It used to be a search box. Now it's increasingly a chat box.

And what matters most to merchants isn't "whether AI has traffic" — it's: whether you're accurately identifying that traffic.

Because if you can't see it, it's hard to optimize it.

If you can't see it, it's hard to judge whether it's valuable.

If you can't see it, it ends up lumped into "other sources" and quietly disappears.

That's exactly what We0.ai cares about. Not just seeing that AI brings visits, but tracking inquiries, leads, and conversions together.

The image illustrates the flow of Shopify AI customer interactions. On the left is a Shopify store interface with a blue awning, and in the middle are three chat windows representing ChatGPT, Gemini, and Copilot, connected by arrows to a central database. Below the database is a shield icon indicating security. On the right are charts and icons showing data growth, users, and conversions. The image is highly relevant to the context, visually showing how AI integrates customer interaction data from different AI tools through a database to track key metrics like inquiries, leads, and conversions.

Why AI inquiries deserve separate tracking

Shopify's official article notes that AI referral shoppers are already clearly outperforming regular organic search:

Metric AI search traffic Traditional organic search
Product page entry rate Higher Lower
Conversion rate Higher Baseline
Average order value Higher Baseline

This tells you one thing: AI doesn't necessarily bring "a lot of traffic," but it often brings "traffic that's closer to a sale."

This is different from traditional SEO.

Traditional SEO is more like "Let me take a look first."
AI inquiries are more like "I've already done my filtering — just give me the answer."

So visitors driven by AI tend to be more like pre-warmed prospects.

They ask more specific questions and are closer to a purchase decision.

That's why Shopify says AI is helping merchants reach more customers — not because AI replaces search, but because it compresses the user's decision-making path.

What We0.ai tracks isn't traffic volume — it's "inquiry source"

For many merchants, what truly matters isn't page views or even sessions.

It's questions like these:

  • Did this lead come from ChatGPT?
  • Was it recommended by Gemini, or triggered by Copilot?
  • Did the user ask after reading content, or come in with direct purchase intent?
  • Which AI channel delivers higher-quality customers?

These are the things growth decisions should be based on.

We0.ai's approach is simple: connect AI traffic, on-site behavior, inquiries, and final conversions into one chain.

Not just looking at "whether there's AI traffic," but asking:

AI discovers you → user clicks through → leaves an inquiry → becomes a customer.

Whether this chain works end-to-end determines whether the AI channel is a real acquisition channel.

How to track inquiries from ChatGPT, Gemini, and Copilot

1) Start with Referrer / Source

The most basic step is to check source domains in GA4 or your on-site analytics.

What you'll typically see:

  • chatgpt.com
  • copilot.microsoft.com
  • gemini.google.com
  • perplexity.ai
  • claude.ai

But here's the catch: not all AI traffic will honestly show up as referrals.

Some will appear as direct.
Some will be bucketed under other channels.
Some may even look like organic traffic.

So looking at just one dimension is usually not enough.

2) Add UTM parameters to inquiry links

If you control the redirect links, UTM is one of the most reliable methods.

For example:

  • utm_source=chatgpt
  • utm_source=gemini
  • utm_source=copilot
  • utm_medium=ai
  • utm_campaign=ai_inquiry

The benefit is straightforward: the source is clearer, and downstream reports are cleaner.

3) Set up event tracking on forms, WhatsApp, email, and booking entries

Many people only track "visits," not "actions."

But for inquiry-driven sites, what really matters is:

  • Form submissions
  • Clicks on contact buttons
  • Meeting bookings
  • WhatsApp / Telegram / Email clicks
  • Downloads of quotes or resources

Once these events are connected, you'll know:

AI didn't just bring eyeballs — it brought specific actions.

4) Look at landing pages, not just the homepage

There's a key point in Shopify's article: AI traffic often lands directly on product pages.

This is also important for We0.ai.

Because many AI inquiries don't start at the homepage — they go straight to:

  • Product pages
  • Service pages
  • Comparison pages
  • FAQ pages
  • Case study pages

So you need to look at: which type of page is best at capturing users coming from AI.

5) Check server logs when needed

If you want to be more rigorous, add server logs to the mix.

Some AI bot crawls, previews, and citations may not be fully recorded in GA4.

Logs can help you confirm:

  • Whether the site was actually accessed by AI
  • Which pages were crawled more
  • Which content is more likely to enter AI's recommendation chain

This step works well for deep diagnostics.

One table to understand: how We0.ai breaks down AI inquiry tracking

Stage What to track Common tools
Acquisition Which AI platform it came from GA4 / referrer / logs
Click Which page the user clicked on Web analytics
Conversion Forms, bookings, inquiries, downloads Event tracking
Attribution Which AI channel contributed the most UTM / channel grouping
Optimization Which content is more likely to be recommended SEO / GEO analysis

This framework suits We0.ai well.

Because We0.ai isn't doing single-point tracking — it's full-funnel tracking from a growth perspective.

Why this is also connected to GEO

It's no longer just Google Search influencing traffic.

AI answer engines, conversational search, and generative recommendations are rewriting how users discover brands.

So what you need isn't just SEO — it's GEO (Generative Engine Optimization).

In other words: make it easier for AI to find you, understand you, and recommend you.

This means page structure, content expression, FAQs, case studies, product specs, and service scope all need to be cohesive.

Be clear.
Be structured.
Be readable by AI.

That's where We0.ai's value lies: turning your website into a growth asset that AI can discover, users can understand, and inquiries can be captured.

This image presents We0.ai's AI inquiry tracking flow. On the left is an e-commerce page marked with the Shopify logo, corresponding to three AI model icons labeled ChatGPT, Gemini, and Copilot, representing inquiry messages generated by three types of AI.

These inquiries ultimately converge on the dashboard interface on the right, which features identifiers for three AI models, paired with data visualization charts such as line charts, bar charts, and pie charts. At the bottom, corresponding Shopify business growth milestones are set, intuitively presenting the complete flow from AI-driven outreach to data statistics, echoing We0.ai's core role in tracking AI-generated inquiries.](https://we0-cms.oss-cn-beijing.aliyuncs.com/cms-assets/image/2026/08/63d28bb1-374e-481e-addf-2fc953fbce8d-3ee0fe92-c80f-4bbf-9510-cbda326794bd.png)

Conclusion: AI Is Not "New Traffic" — AI Is the "New Customer Entry Point"

Shopify's stance here is essentially reminding all merchants of one thing:

AI has already started helping you reach customers. The one thing you cannot afford to do is fail to see it.

For We0.ai, this is clear:

  • Track sources from ChatGPT, Gemini, and Copilot
  • Connect inquiries and conversion events
  • Identify which content pages best capture AI traffic
  • Turn your website from "showcase" into "customer acquisition"

That is what growth means.

It's not just one more traffic source.
It's an additional entry point that continuously brings in inquiries.

Ready to Build? If you're already receiving AI-driven visits but can't yet see clearly how many inquiries they generate, We0.ai can help you connect that entire chain.

FAQ

1. Can ChatGPT traffic be directly identified in GA4?

Sometimes, but not always completely. It's best to combine referrer, UTM, and event tracking data together.

2. How do you distinguish between Gemini and Copilot traffic?

Usually by looking at source domains, landing pages, and event sources; adding UTM parameters makes it even clearer.

3. Is AI traffic always more valuable than regular search traffic?

Not necessarily, but in many scenarios, AI traffic carries stronger purchase intent and converts closer to the sale.

4. What types of inquiries is We0.ai suitable for tracking?

It's suitable for tracking forms, bookings, WhatsApp, email, downloads, quote requests, and more.

5. Why should you do both SEO and GEO?

Because SEO solves being found, while GEO solves being recommended by AI. They're not substitutes — they compound each other.

Related Tools

Summary

AI is changing where customers come from.

More precisely, AI is changing how customers find you.

If your website can only see regular search traffic, you're missing half of the growth signals.

What We0.ai aims to do is bring that half back into view.

Shopify 称 AI 正在帮助商家触达更多客户:We0.ai 如何追踪 ChatGPT、Gemini 和 Copilot 带来的询盘?